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Shreyas Bhave

Software Engineering Intern at Counsyl

My name is Shreyas Bhave. I’m currently a PhD student at the Columbia
University Department of Biomedical Informatics (DBMI). My research
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My name is Shreyas Bhave. I’m currently a PhD student at the Columbia University Department of Biomedical Informatics (DBMI). My research interests are broadly in modeling EHR data for the purposes of developing risk prediction models. In particular, I am interested in developing methods which address the inherent biases in such data. My recent work focuses on approaches to better model multi-scale irregularly sampled time series data and detecting missingness in tabular data.

Prior to Columbia, I received my Bachelor’s degree from UC Berkeley in Electrical Engineering and Computer Science. I spent a summer as a SWE intern at Counsyl, now Myriad Women’s Health , where I worked on buidling pipelines for processing large genomic datasets. I’ve also worked at Harvard Medical School and Johns Hopkins.
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C22 The CLinically Explainable Actionable Risk Model

Shreyas Bhave
Software Engineering Intern at Counsyl
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Machine Learning for Healthcare
August 8, 2020, Online, Los Angeles, CA, USA
Machine Learning for Healthcare
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C22 The CLinically Explainable Actionable Risk Model

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Ruijun Chen
Assistant Professor in Translational Data Science and Informatics at Geisinger
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Ruijun Chen

Assistant Professor in Translational Data Science and Informatics at Geisinger
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Victor Rodriguez

MD-PhD Student at Columbia University
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Lisa Liu

PhD Candidate at Columbia Department of Biomedical Informatics
Interested in topic “Artificial Intelligence and Machine Learning”?

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